What gpt-6-cyber costs for real workloads
| Workload | Estimated cost |
|---|---|
| Support chatbot: 100K messages | $4,600.00 |
| RAG search: 10K queries with 6K-token context | $1,700.00 |
| Batch summarization: 1,000 long documents | $500.00 |
| Coding agent: 100 tasks, 50K context x 20 turns | $490.00 |
Chatbot: 800 input + 300 output tokens per message. RAG: 6,000 + 500 per query. Summarization: 20,000 + 1,000 per document. Coding agent: 20 turns per task over a 50K-token context, with 95% of input served from cache where the model supports it.
gpt-6-cyber vs similarly priced models
| Model | Provider | Input / 1M | Output / 1M | Cached / 1M | Blended |
|---|---|---|---|---|---|
| Kimi K3 | Together AI | $3.00 | $15.00 | $0.30 | $6.00 |
| gpt-5.6-sol | OpenAI | $4.00 | $20.00 | $0.40 | $8.00 |
| Claude Opus 5.5 | Anthropic | $4.00 | $20.00 | $0.20 | $8.00 |
| gpt-realtime-2.1 | OpenAI | $4.00 | $24.00 | $0.40 | $9.00 |
| chat-latest | OpenAI | $5.00 | $30.00 | $0.50 | $11.25 |
| gpt-6-astra | OpenAI | $10.00 | $50.00 | $1.00 | $20.00 |
| Claude Fable 5.1 | Anthropic | $10.00 | $50.00 | $0.25 | $20.00 |
| gpt-5.6-cyber | OpenAI | $12.50 | $75.00 | $1.25 | $28.12 |
| gpt-6-cyber | OpenAI | $20.00 | $100.00 | $2.00 | $40.00 |
Other OpenAI models
gpt-6-cyber pricing FAQ
How much does the gpt-6-cyber API cost?
gpt-6-cyber costs $20.00 per million input tokens and $100.00 per million output tokens on OpenAI, with cached input at $2.00 per million. Prices as of November 8, 2026.
How much does gpt-6-cyber cost for 1,000 requests?
At 1,000 input and 500 output tokens per request, 1,000 requests cost about $70.00.
Does gpt-6-cyber have a prompt caching discount?
Yes. Cached input is $2.00 per million tokens, 10x cheaper than fresh input. Workloads that resend the same context, like agents and chat with long system prompts, pay mostly the cached rate.
Is gpt-6-cyber expensive compared to other LLM APIs?
It ranks #76 cheapest of 76 models we track on a blended price (3 input tokens per output token) of $40.00 per million tokens.
Picking a model for production?
Describe your workload and the Planner estimates monthly token spend across every model we track.